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A Vibration Energy Harvester and Power Management Solution for Battery-Free Operation of Wireless Sensor Nodes
Electromagnetic Vibration Energy Harvesting (EM-VEH) is an attractive alternative to batteries as a power source for wireless sensor nodes that enable intelligence at the edge of the Internet of Things (IoT). Industrial environments in particular offer an abundance of available kinetic energy, in th...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749454/ https://www.ncbi.nlm.nih.gov/pubmed/31480410 http://dx.doi.org/10.3390/s19173776 |
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author | Rodriguez, Juan Carlos Nico, Valeria Punch, Jeff |
author_facet | Rodriguez, Juan Carlos Nico, Valeria Punch, Jeff |
author_sort | Rodriguez, Juan Carlos |
collection | PubMed |
description | Electromagnetic Vibration Energy Harvesting (EM-VEH) is an attractive alternative to batteries as a power source for wireless sensor nodes that enable intelligence at the edge of the Internet of Things (IoT). Industrial environments in particular offer an abundance of available kinetic energy, in the form of machinery vibrations that can be converted into electrical power through energy harvesting techniques. These ambient vibrations are generally broadband, and multi-modal harvesting configurations can be exploited to improve the mechanical-to-electrical energy conversion. However, the additional challenge of energy conditioning (AC-to-DC conversion) to make the harvested energy useful brings into question what specific type of performance is to be expected in a real industrial application. This paper reports the operation of two practical IoT sensor nodes, continuously powered by the vibrations of a standard industrial compressor, using a multi-modal EM-VEH device, integrated with customised power management. The results show that the device and the power management circuit provide sufficient energy to receive and transmit data at intervals of less than one minute with an overall efficiency of about 30%. Descriptions of the system, test-bench, and the measured outcomes are presented. |
format | Online Article Text |
id | pubmed-6749454 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-67494542019-09-27 A Vibration Energy Harvester and Power Management Solution for Battery-Free Operation of Wireless Sensor Nodes Rodriguez, Juan Carlos Nico, Valeria Punch, Jeff Sensors (Basel) Article Electromagnetic Vibration Energy Harvesting (EM-VEH) is an attractive alternative to batteries as a power source for wireless sensor nodes that enable intelligence at the edge of the Internet of Things (IoT). Industrial environments in particular offer an abundance of available kinetic energy, in the form of machinery vibrations that can be converted into electrical power through energy harvesting techniques. These ambient vibrations are generally broadband, and multi-modal harvesting configurations can be exploited to improve the mechanical-to-electrical energy conversion. However, the additional challenge of energy conditioning (AC-to-DC conversion) to make the harvested energy useful brings into question what specific type of performance is to be expected in a real industrial application. This paper reports the operation of two practical IoT sensor nodes, continuously powered by the vibrations of a standard industrial compressor, using a multi-modal EM-VEH device, integrated with customised power management. The results show that the device and the power management circuit provide sufficient energy to receive and transmit data at intervals of less than one minute with an overall efficiency of about 30%. Descriptions of the system, test-bench, and the measured outcomes are presented. MDPI 2019-08-31 /pmc/articles/PMC6749454/ /pubmed/31480410 http://dx.doi.org/10.3390/s19173776 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Rodriguez, Juan Carlos Nico, Valeria Punch, Jeff A Vibration Energy Harvester and Power Management Solution for Battery-Free Operation of Wireless Sensor Nodes |
title | A Vibration Energy Harvester and Power Management Solution for Battery-Free Operation of Wireless Sensor Nodes |
title_full | A Vibration Energy Harvester and Power Management Solution for Battery-Free Operation of Wireless Sensor Nodes |
title_fullStr | A Vibration Energy Harvester and Power Management Solution for Battery-Free Operation of Wireless Sensor Nodes |
title_full_unstemmed | A Vibration Energy Harvester and Power Management Solution for Battery-Free Operation of Wireless Sensor Nodes |
title_short | A Vibration Energy Harvester and Power Management Solution for Battery-Free Operation of Wireless Sensor Nodes |
title_sort | vibration energy harvester and power management solution for battery-free operation of wireless sensor nodes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749454/ https://www.ncbi.nlm.nih.gov/pubmed/31480410 http://dx.doi.org/10.3390/s19173776 |
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